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实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

说明：  一个利用空时编码和训练序列进行仿真的mimo ofdm系统(A use of space-time coding sequence of simulation and training systems mimo ofdm)

Numerical Techniques for Unconstrained Optimization with MATLAB

光纤无线通信系统中传输性能的研究，小波包分析提取振动信号中的特征频率，预报误差法参数辨识-松弛的思想。( Fiber Transmission wireless communication system performance, Wavelet packet analysis to extract vibration signal characteristic frequency, Prediction Error Method for Parameter Identification- the idea of relaxation.)

说明：  层次分析法,解决多属性决策问题,MATLAB源代码.R2019版本测试通过,只需要修改里面的评判矩阵数据即可(Analytic Hierarchy Process (AHP) to solve multi-attribute decision-making problems, the source code of MATLAB. R2019 version passed the test.)

对图像分割，初始轮廓为椭圆。变化的过程中始终以椭圆为约束(For image segmentation, the initial contour is an ellipse.)

分数阶傅里叶变换计算方面,使用大量的有限元法求解偏微分方程，是本科毕设的题目。( Fractional Fourier transform computing, Using a large number of finite element method to solve partial differential equations, The title of the commercial is undergraduate course yo.)

偏最小二乘回归方法及其应用 很有用的书籍 分析数据很有用(Partial least-squares regression method and its application very useful analysis of data useful books)

基于自组织特征映射神经网络的图像压缩算法，ＥＩ检索论文，绝对有参考价值．(Based on self-organizing feature map neural network image compression algorithm, EI retrieval papers, the absolute reference value.)